Table 1.
Breakdown of words and tweets by prefecture.
| Prefecture | Number of words representing the area in the prefecture | Number of tweets | Tweets per 1000 people |
| Hokkaido | 635 | 51,871 | 9 |
| Aomori | 158 | 18,181 | 13 |
| Iwate | 545 | 32,319 | 25 |
| Miyagi | 911 | 64,714 | 28 |
| Akita | 200 | 10,473 | 10 |
| Yamagata | 295 | 13,523 | 12 |
| Fukushima | 1535 | 741,178 | 372 |
| Ibaraki | 1013 | 155,482 | 53 |
| Tochigi | 650 | 41,832 | 21 |
| Gunnma | 714 | 26,892 | 13 |
| Saitama | 1647 | 55,702 | 8 |
| Chiba | 1757 | 129,784 | 21 |
| Tokyo | 2614 | 441,874 | 33 |
| Kanagawa | 1766 | 108,510 | 12 |
| Niigata | 380 | 29,238 | 12 |
| Toyama | 100 | 4919 | 5 |
| Ishikawa | 121 | 3461 | 3 |
| Fukui | 137 | 11,437 | 14 |
| Yamanashi | 313 | 7881 | 9 |
| Nagano | 663 | 21,466 | 10 |
| Gifu | 325 | 8582 | 4 |
| Shizuoka | 615 | 36,133 | 10 |
| Aichi | 696 | 21,380 | 3 |
| Mie | 208 | 2339 | 1 |
| Shiga | 131 | 3497 | 2 |
| Kyoto | 319 | 18,232 | 7 |
| Osaka | 677 | 35,824 | 4 |
| Hyogo | 362 | 9341 | 2 |
| Nara | 150 | 3208 | 2 |
| Wakayama | 115 | 2271 | 2 |
| Tottori | 71 | 2774 | 5 |
| Shimane | 79 | 3081 | 4 |
| Okayama | 134 | 5937 | 3 |
| Hiroshima | 195 | 35,599 | 12 |
| Yamaguchi | 109 | 2462 | 2 |
| Tokushima | 75 | 2113 | 3 |
| Kagawa | 77 | 2229 | 2 |
| Ehime | 105 | 3974 | 3 |
| Kochi | 99 | 2596 | 3 |
| Fukuoka | 326 | 12,243 | 2 |
| Saga | 83 | 5757 | 7 |
| Nagasaki | 125 | 48,477 | 34 |
| Kumamoto | 123 | 4620 | 3 |
| Oita | 104 | 3590 | 3 |
| Miyazaki | 106 | 3284 | 3 |
| Kagoshima | 127 | 4559 | 3 |
| Okinawa | 165 | 22,115 | 16 |
| Other | 16,235 | 1,396,553 | N/Aa |
aN/A: not applicable; this was not calculated, as the population size for this category is not known.